Q-learning approach to asymptotic feedback set stabilization with missing data in networked systems

IF 4.2 2区工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY

Engineering Analysis with Boundary Elements Pub Date : 2025-04-09 DOI:10.1016/j.enganabound.2025.106203

Yan Li , Ziyi Yang , Chi Huang , Wenjun Xiong

引用次数: 0

Abstract

Real-world systems frequently encounter data loss caused by external interference or channel congestion. Such unreliable transmission can significantly impact system dynamics. To mitigate its effects on Boolean control networks (BCNs), this paper investigates the asymptotic feedback set stabilization of BCNs with missing data. Firstly, an augmented system is constructed to handle the data loss. Subsequently, two methods are proposed to design the feedback control, with Q-learning employed to address situations where a model-free approach is required. Finally, an illustrative example is presented to demonstrate the effectiveness of the proposed results.

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网络系统中缺失数据渐近反馈集镇定的q学习方法

现实世界的系统经常遇到由外部干扰或信道拥塞引起的数据丢失。这种不可靠的传输会严重影响系统动力学。为了减轻其对布尔控制网络的影响，本文研究了丢失数据的布尔控制网络的渐近反馈集镇定问题。首先，构建了一个增强系统来处理数据丢失。随后，提出了两种设计反馈控制的方法，其中Q-learning用于解决需要无模型方法的情况。最后，通过一个算例验证了所提结果的有效性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Engineering Analysis with Boundary Elements 工程技术-工程：综合

CiteScore

5.50

自引率

18.20%

发文量

368

审稿时长

56 days

期刊介绍： This journal is specifically dedicated to the dissemination of the latest developments of new engineering analysis techniques using boundary elements and other mesh reduction methods. Boundary element (BEM) and mesh reduction methods (MRM) are very active areas of research with the techniques being applied to solve increasingly complex problems. The journal stresses the importance of these applications as well as their computational aspects, reliability and robustness. The main criteria for publication will be the originality of the work being reported, its potential usefulness and applications of the methods to new fields. In addition to regular issues, the journal publishes a series of special issues dealing with specific areas of current research. The journal has, for many years, provided a channel of communication between academics and industrial researchers working in mesh reduction methods Fields Covered: • Boundary Element Methods (BEM) • Mesh Reduction Methods (MRM) • Meshless Methods • Integral Equations • Applications of BEM/MRM in Engineering • Numerical Methods related to BEM/MRM • Computational Techniques • Combination of Different Methods • Advanced Formulations.